Accepted for/Published in: JMIR Formative Research
Date Submitted: Jul 17, 2020
Date Accepted: Mar 17, 2021
Date Submitted to PubMed: Apr 1, 2021
Online Assessment of the Burden of COVID-19 for patients: the ABCoV-tool
ABSTRACT
Background:
The impact of the Corona Virus Disease (COVID-19) is being felt across the world, and yet we still know little about its full impact. One of the most serious gaps in our current knowledge concerns infection’s long-term mental and physical impact of the infection on affected individuals. The COVID-19 pandemic hit the Netherlands in the end of February 2020, resulting in almost 50,000 people testing positive for the virus, 11,850 hospitalizations, and over 6,000 deaths by the end of June1. Although many patients recover from the acute phase of the disease, experience with other viruses raises serious concerns regarding possible late sequelae of the infection.
Objective:
A group of experts (members of a patient-oriented pressure group, pulmonologists, scientists, IT-experts) recognized the need for a reliable tool to assess the long-term impact of COVID-19 infection on individual patients.
Methods:
Here, we describe the process of the development, assessment, programming, implementation and usage of this new tool; Assessment of Burden of COVID-19 (ABCoV).
Results:
By July 2020, the new ABCoV-tool has been incorporated into an online patient platform, servicing over 1,300 patients, and which is being used in four hospitals for monitoring post-COVID-19 for research purposes and in regular care.
Conclusions:
This new ABCoV-tool can provide insight into the perceived burden of disease, provide direction in the personalized aftercare for people with post-COVID-19, and may enable us to be prepared for possible future recurrences.
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.